Influencer Discovery

Real engagement-rate vetting

Compute true engagement rate from profile data to filter out accounts with inflated follower counts but dead engagement.

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InstagramTikTokXUser Profile

The brief Naise works from

Pull the profiles of creators creator handles and compute true engagement rate (likes + comments ÷ followers) from their recent posts. Filter out anyone below min ER %%. Output a ranked vetting table separating genuine engagement from inflated follower counts.

Highlighted words are the blanks you fill in. Leave one empty and Naise uses a sensible default.

Vetting table

10 creators vetted, 2% engagement floor

Mean and median ER side by side, so a single viral post cannot carry an account through the screen.

10 vetted6 pass1 mean/median 4x gap

See the full output in the session

Inputs it asks for

creator handles

For example: @mrbeast, @zachking, @bellapoarch

min ER %

For example: 2

More influencer discovery playbooks

See all

Hashtag-led longlistingBuild a creator longlist from top hashtag contributors.Authenticity / fake-follower flaggingFlag likely bought followers from erratic engagement patterns.Market-fit confirmationConfirm a creator is truly local and audience-relevant.